Validation of the British Society of Thoracic Imaging guidelines for COVID-19 chest radiograph reporting

S S Hare1, A N Tavare1, V Dattani1

  • 1Department of Radiology, Royal Free NHS Foundation Trust, London, UK.

Clinical Radiology
|July 8, 2020
PubMed

Insights

The British Society of Thoracic Imaging guidelines for classifying COVID-19 on chest X-rays show high specificity but moderate sensitivity. Combining "Indeterminate" and "Non-COVID-19" categories improves radiologist agreement for COVID-19 diagnosis.

Area of Science:

  • Radiology
  • Infectious Disease Imaging
  • Thoracic Imaging

Background:

  • The COVID-19 pandemic necessitated rapid diagnostic tools.
  • Chest radiography is a key imaging modality for COVID-19 assessment.
  • Standardized reporting guidelines are crucial for consistent interpretation.

Purpose of the Study:

  • To evaluate the reproducibility and diagnostic performance of British Society of Thoracic Imaging guidelines for COVID-19 chest radiograph categorization.
  • To assess interobserver agreement among radiologists using these guidelines.

Main Methods:

  • Seven consultant radiologists reviewed chest radiographs from 50 COVID-19 patients and 50 controls.
  • Radiographs were categorized according to the British Society of Thoracic Imaging guidelines.
  • Interobserver agreement was statistically analyzed using Fleiss' kappa and McNemar's tests.

Main Results:

  • Excellent specificity (100%) and moderate sensitivity (44%) were observed for the "Classic/Probable COVID-19" category.
  • Substantial interobserver agreement (k=0.61) was found for "Classic/Probable COVID-19".
  • Fair agreement was noted for "Indeterminate" (k=0.23) and "Non-COVID-19" (k=0.37) categories, with low sensitivity for COVID-19.

Conclusions:

  • The proposed guidelines demonstrate high specificity but require refinement for improved sensitivity and interobserver agreement.
  • Amalgamating "Indeterminate" and "Non-COVID-19" categories into a "not classic of COVID-19" classification could enhance agreement and reduce misclassification.
  • This revised approach would better capture patients with COVID-19 presenting with atypical radiographic findings.
Abstract

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